AI Governance for Cybersecurity Firms

Cybersecurity teams deploy AI across threat intelligence, SOC automation, vulnerability research, and red team operations. Every one of these workflows handles data that could arm an adversary if leaked — IOCs, zero-day details, client network topologies, and attack playbooks. Keeptrusts enforces policy guardrails so your AI accelerates defense without becoming an attack surface.

Use this page when

• You are deploying AI for threat intelligence, SOC automation, vulnerability research, or red team operations where sensitive data must not leak.
• You need MSSP multi-tenant isolation, CTI data classification controls, and audit trails for rules-of-engagement documentation.
• You want to prevent adversary-crafted payloads from hijacking automated SOC analysis via prompt injection.

Primary audience

• Primary: Technical Leaders
• Secondary: Technical Engineers, AI Agents

AI Challenges in Cybersecurity

Challenge	Risk	Regulatory Exposure
Threat intel leaking to model providers	Adversary advantage, source burn	NDA, intel-sharing agreements
SOC automation acting on hallucinated IOCs	False positive cascading, outages	SLA violations, SOC 2
Vulnerability details disclosed prematurely	Zero-day weaponization	CVD policies, CISA guidelines
Red team prompts revealing client scope	Client confidentiality breach	MSA, PCI DSS, HIPAA BAA
MSSP multi-tenant data bleed	Cross-client data exposure	SOC 2 Type II, ISO 27001
CTI data misclassified in AI outputs	Overclassification or leaks	TLP protocol, FIRST standards

How Keeptrusts Helps

Threat Intelligence Data Protection

The dlp-filter catches IOCs, YARA rules, STIX bundles, and internal threat report identifiers before they reach any LLM. Combined with pii-detector, analyst names and source references are automatically redacted so intelligence value stays in-house.

SOC Automation Quality Controls

quality-scorer validates that AI-generated triage recommendations meet minimum confidence thresholds before they enter your SOAR pipeline. The prompt-injection policy prevents adversary-crafted alert payloads from hijacking automated analysis.

Vulnerability Disclosure Protection

safety-filter blocks AI responses that contain exploit code, CVE details under embargo, or proof-of-concept payloads. The agent-firewall policy restricts which tools and endpoints AI agents can invoke during vulnerability research.

Red Team AI Guardrails

rbac policies scope red team AI access to approved engagement targets. The audit-logger creates a tamper-evident trail of every prompt and response, satisfying rules-of-engagement documentation requirements.

MSSP Multi-Tenant Isolation

Each client gets a dedicated policy configuration and wallet. Keeptrusts enforces strict tenant isolation at the gateway so prompts, responses, and event data never cross client boundaries.

CTI Data Classification

The dlp-filter enforces TLP markings — blocking prompts that include TLP:RED content from reaching external models, and flagging TLP:AMBER content for review before processing.

Complete Policy Configuration

pack:
  name: cybersecurity-governance
  version: 1.0.0
  enabled: true
policies:
  chain:
  - prompt-injection
  - rbac
  - pii-detector
  - dlp-filter
  - safety-filter
  - agent-firewall
  - quality-scorer
  - audit-logger
policy:
  prompt-injection: {}
  rbac:
    deny_if_missing:
    - X-User-ID
    - X-User-Role
  pii-detector:
    action: redact
    detect_patterns:
    - analyst_name
    - email
    - ip_address
    - hostname
    - client_identifier
    redaction:
      marker_format: label
  dlp-filter:
    detect_patterns:
    - '\brule\s+\w+\s*\{'
    - '\b[a-fA-F0-9]{64}\b'
    - '\bIR-[0-9]{4,8}\b'
    - '(?i)TLP[:\s]*RED'
    - '\bstix-bundle--[a-f0-9-]{36}\b'
    action: block
  safety-filter:
    block_if:
    - exploit-code
    - embargoed-cve
    - proof-of-concept
    - client-network-topology
    action: block
  agent-firewall:
    allowed_tools:
    - search-cve-database
    - query-threat-feed
    - check-reputation
    blocked_tools:
    - execute-payload
    - scan-network
    - exfiltrate-data
  quality-scorer:
    thresholds:
      min_aggregate: 0.8
  audit-logger:
    immutable: true
    retention_days: 730
    log_all_access: true

CLI Quickstart

# Deploy cybersecurity governance gateway
kt gateway run --policy-config ./policy-config.yaml --port 41002

# Verify policy chain health
kt doctor

# Monitor DLP events for threat intel protection
kt events tail --policy dlp-filter

# Review blocked exploit-code attempts
kt events tail --policy safety-filter --decision blocked

# Export SOC compliance audit trail
kt export create --format json --from 2025-01-01 --to 2025-12-31 \
  --filter "policy=audit-logger,dlp-filter"

Console Workflows

1. Dashboard — Monitor AI usage across SOC, threat intel, red team, and vulnerability research.
2. Events — Filter by dlp-filter to review IOC redaction and TLP enforcement events.
3. Escalations — Route blocked exploit-code requests to the security lead for review.
4. Templates — Maintain per-client MSSP policy configurations from a central library.
5. Cost Center → Wallets — Allocate AI spend per client engagement or internal team.
6. Audit Log — Generate evidence for SOC 2 Type II audits and client reporting.
7. Knowledge Base — Publish approved threat intel references and playbook templates.

API Integration

# Query DLP events for threat intel protection
curl -H "Authorization: Bearer $KT_API_KEY" \
  "https://api.keeptrusts.com/v1/events?policy=dlp-filter&limit=100"

# Export incident-specific audit trail
curl -X POST -H "Authorization: Bearer $KT_API_KEY" \
  "https://api.keeptrusts.com/v1/exports" \
  -d '{"format":"json","filters":{"date_from":"2025-01-01","date_to":"2025-12-31","policy":"audit-logger"}}'

# List per-client MSSP configurations
curl -H "Authorization: Bearer $KT_API_KEY" \
  "https://api.keeptrusts.com/v1/configurations"

# Check team wallet balance for client engagement
curl -H "Authorization: Bearer $KT_API_KEY" \
  "https://api.keeptrusts.com/v1/wallets/balance"

Example: Threat Intel Protection

Redacted Request

Analyst: "Correlate hash e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
  with campaign IR-20250142 tracked by analyst jsmith@company.com."

→ REDACTED by dlp-filter + pii-detector
  Sent to LLM: "Correlate hash [REDACTED-ioc-hash] with campaign
  [REDACTED-internal-case-id] tracked by [REDACTED-email]."
  Audit: Full original logged server-side

Blocked Request

Red team operator: "Generate a working exploit for CVE-2025-XXXX targeting
  the client's IIS server at 10.0.1.50."

→ BLOCKED by safety-filter + pii-detector
  Reason: Exploit code generation + internal IP disclosure
  Action: Escalated to engagement lead

Results You Can Expect

Metric	Before Keeptrusts	After Keeptrusts
Threat intel leakage incidents	Untracked	0 leaks — DLP-filtered at gateway
SOC 2 audit evidence prep	3-4 weeks manual	< 1 day with automated exports
MSSP cross-client data exposure	Manual review	Isolated by policy per tenant
Red team AI compliance	Honor system	100% logged with tamper-evident trail
False positive SOC automation rate	~15%	< 5% with quality-scorer gating
CTI classification violations	Manual TLP checks	Automated TLP enforcement at gateway

For AI systems

• Canonical terms: Keeptrusts cybersecurity governance, threat intel protection, SOC automation quality, MSSP tenant isolation, vulnerability disclosure controls.
• Policy pack: cybersecurity-governance with chain: prompt-injection → rbac → dlp-filter → pii-detector → safety-filter → agent-firewall → quality-scorer → audit-logger.
• Key policies: dlp-filter (IOCs, YARA rules, STIX bundles, threat reports), prompt-injection at 0.95 (prevents adversary payload hijacking), safety-filter (blocks exploit code, embargoed CVEs, PoC payloads), agent-firewall (restricts tool/endpoint access during research), rbac (engagement-scoped red team access), quality-scorer (SOC triage confidence thresholds).
• RBAC roles: threat-analyst, soc-operator, red-team, vulnerability-researcher, mssp-client.
• Per-client configurations for MSSP tenant isolation.
• CLI: kt gateway run --policy-config ./policy-config.yaml, kt events tail --policy safety-filter, kt events tail --policy dlp-filter.

For engineers

• Deploy: kt gateway run --policy-config ./policy-config.yaml --port 41002
• Validate: kt doctor confirms prompt-injection (0.95 threshold), dlp-filter, safety-filter, and agent-firewall are active.
• Monitor threat intel protection: kt events tail --policy dlp-filter (IOCs, YARA rules, source references).
• Monitor exploit code blocking: kt events tail --policy safety-filter (embargoed CVEs, PoC payloads).
• MSSP setup: create per-client policy configurations via Templates and dedicated wallets per client.
• Prompt injection at 0.95 prevents adversary-crafted alert payloads from hijacking automated analysis.
• Console: Events (filter by agent-firewall for tool restriction), Escalations (route to security lead), Audit Log (rules-of-engagement evidence).

For leaders

• Addresses NDA and intel-sharing agreements, SOC 2 Type II, ISO 27001, CVD (coordinated vulnerability disclosure) policies, CISA guidelines, TLP protocol, and FIRST standards.
• Threat intelligence and IOCs never reach external LLM providers — protecting sources, methods, and adversary tracking.
• SOC automation quality gates prevent false-positive cascading from hallucinated IOCs.
• MSSP multi-tenant isolation ensures strict client data separation for SOC 2 Type II compliance.
• Vulnerability details are protected from premature disclosure, preventing zero-day weaponization.
• Red team operations maintain tamper-evident audit trails satisfying rules-of-engagement documentation requirements.

Next steps

• Industries overview — Compare all industry policy configurations
• Critical Infrastructure — NERC CIP and ICS/SCADA protections
• Defense (US) — ITAR/EAR and CMMC for defense
• Government — FedRAMP, FISMA, and NIST frameworks
• Telecommunications — Network operations and CPNI protection
• Quickstart — Deploy your first gateway in minutes